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Racial disparities in COVID-19 mortality across Michigan, United States
Alyssa S Parpia; Abhishek Pandey; Isabel Martinez; Abdulrahman M El-Sayed; Chad R Wells; Lindsey Myers; Jeffrey Duncan; Jim Collins; Meagan C Fitzpatrick; Alison P Galvani.
Afiliação
  • Alyssa S Parpia; Yale University
  • Abhishek Pandey; Yale University
  • Isabel Martinez; Yale University
  • Abdulrahman M El-Sayed; University of Michigan Medical School
  • Chad R Wells; Yale University
  • Lindsey Myers; Michigan Department of Health and Human Services
  • Jeffrey Duncan; Michigan Department of Health and Human Services
  • Jim Collins; Michigan Department of Health and Human Services
  • Meagan C Fitzpatrick; University of Maryland School of Medicine
  • Alison P Galvani; Yale University
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20241133
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ABSTRACT
Black populations in the US are disproportionately affected by the COVID-19 pandemic, but the increased mortality burden after accounting for health and demographic characteristics is not well understood. We evaluated COVID-19 mortality in Michigan using individual-level death certificate and surveillance data from the Michigan Department of Health and Human Services from March 16 to October 26, 2020. Among the 6,065 COVID-19-related deaths, Black individuals experienced 3.6 times the mortality rate as White individuals. Black individuals under 65 years without comorbidities had a mortality rate 12.6 times that of their White counterparts. After accounting for age, sex, and comorbidities, we found that Black individuals in all strata are at higher risk of COVID-19 mortality than their White peers. We demonstrate that inequities in mortality are driven by ongoing systemic racism, as opposed to comorbidity burden or older age, and further highlight how underlying disparities across the race are compounded in crises.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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